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AI applications of data sharing in agriculture 4.0: A framework for role-based data access control

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journal contribution
posted on 2021-03-30, 09:59 authored by Konstantina Spanaki, Erisa Karafili, Stella Despoudi
Industry 4.0 and the associated IoT and data applications are evolving rapidly and expand in various fields. Industry 4.0 also manifests in the farming sector, where the wave of Agriculture 4.0 provides multiple opportunities for farmers, consumers and the associated stakeholders. Our study presents the concept of Data Sharing Agreements (DSAs) as an essential path and a template for AI applications of data management among various actors. The approach we introduce adopts design science principles and develops role-based access control based on AI techniques. The application is presented through a smart farm scenario while we incrementally explore the data sharing challenges in Agriculture 4.0. Data management and sharing practices should enforce defined contextual policies for access control. The approach could inform policymaking decisions for role-based data management, specifically the data-sharing agreements in the context of Industry 4.0 in broad terms and Agriculture 4.0 in specific.

History

School

  • Business and Economics

Department

  • Business

Published in

International Journal of Information Management

Volume

59

Publisher

Elsevier

Version

  • AM (Accepted Manuscript)

Rights holder

© Crown Copyright

Publisher statement

This paper was accepted for publication in the journal International Journal of Information Management and the definitive published version is available at https://doi.org/10.1016/j.ijinfomgt.2021.102350.

Acceptance date

2021-03-25

Publication date

2021-04-05

Copyright date

2021

ISSN

0268-4012

Language

  • en

Depositor

Dr Konstantina Spanaki. Deposit date: 26 March 2021

Article number

102350